148 search results - page 8 / 30 » Mining top-K frequent itemsets from data streams |
ICDM
2008
IEEE
14 years 3 months ago
2008
IEEE
Efficient mining of high utility itemsets has become one of the most interesting data mining tasks with broad applications. In this paper, we proposed two efficient one-pass algor...
SBACPAD
2003
IEEE
14 years 1 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
DASFAA
2007
IEEE
14 years 2 months ago
2007
IEEE
Networks of thousands of sensors present a feasible and economic solution to some of our most challenging problems, such as real-time traffic modeling, military sensing and trackin...
CIVR
2006
Springer
14 years 8 days ago
2006
Springer
Abstract. We present a method for mining frequently occurring objects and scenes from videos. Object candidates are detected by finding recurring spatial arrangements of affine cov...
SAC
2006
ACM
14 years 2 months ago
2006
ACM
This paper explores the generation of candidates, which is an important step in frequent itemset mining algorithms, from a theoretical point of view. Important notions in our prob...